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Abstract

A framework is proposed that creates, uses, and communicates information, whose organizational dynamics allows performing a distributed cooperative enterprise in public environments, even over open source systems. The approach assumes the web services as the enacting paradigm possibly over a grid, to formalize interactions as cooperative services on various computational nodes of a network. The illustrated case study shows that some portions, both of processes and of data or knowledge, can be shared in a collaborative environment, which is also more generally true for any kind of either complex or resource demanding (or both) interaction that will benefit any of the approaches.

Background

Four main classes of methodological approaches to the experiments can be easily identified within the investigated field as follows:

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Process Simulation and Visualization of the already available information sources. This is a very widely studied class, pertaining also to computational biochemistry among other disciplines, on which we will deliberately not speculate within this paper, but focus instead on the following three classes, on which more results have been recently contributed. It is mentioned on the human-computer interaction issues discussed by Liberati (2008a).

Grid Computing: A style of computing that dynamically pools IT resources together in order to dynamically allocate resources depending on needs. It allows organizations to provision and scale resources as needs arise, thereby preventing their underutilization.

E-Science: A virtual way to build a scientific community over an information and communication technology infrastructure.

Service-Oriented Architecture: A kind of software design allowing a variety applications to interact regardless of specific technology like programming languages and operating systems.

Virtualization: It allows sharing of the same resources by multiple users as needs arise as if they were co-located even if they are not.

Systems Biology: The application of the systems and control theory to complex Biological problems.